A New Method Based on Jacobi Iteration for Fuzzy Linear Systems

Zhen Huang, Zhuo Chen, Shijun Zhang, Shiheng Wang, Ke Wang

Abstract

A new iterative method is suggested based on Jacobi iteration for solving a class of fuzzy linear systems of equations with crisp coefficient matrix and fuzzy right-hand side. The iterative scheme is established and the convergence theorems are presented. Numerical examples show that the method is effective and efficient compared with the classical Jacobi method.